Streamlining equipment maintenance! A predictive failure service that integrates IoT, big data, and machine learning.
"MMPredict" is a service that performs predictive maintenance using machine learning on data accumulated in the IoT platform "MMCloud." It detects early signs of failure and streamlines equipment maintenance. By analyzing the correlation of multiple sensor data, it assesses the condition of the equipment. The engineering techniques developed through years of embedded software development are applied to data cleansing, combined with an appropriate machine learning method (our proprietary technology), enabling highly accurate predictions. Additionally, when early signs of failure are detected, the contribution information of the sensors is displayed, allowing for the estimation of the failure location. 【Features】 ■ Predictive maintenance through machine learning in normal operating conditions ■ Enables highly accurate predictions ■ Allows estimation of failure locations *For more details, please refer to the catalog or feel free to contact us.
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basic information
【Product Features】 ■ Normal Model Registration ■ Failure Prediction Analysis ■ Failure Prediction Notification *For more details, please refer to the catalog or feel free to contact us.
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Applications/Examples of results
[Applications] ■ Predictive maintenance for mechatronics devices, large machinery, plant equipment, etc. ■ Formalization and inheritance of operational know-how ■ Diagnostic support and policy decision support ■ Demand forecasting and improvement of yield *For more details, please refer to the catalog or feel free to contact us.
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Company information
Since its founding in 1978 as "Yaskawa Information Systems," the company has primarily supported management through the implementation and operation of core systems for manufacturing customers, as well as assisting in manufacturing sites with line control and product integration, accumulating extensive know-how in the manufacturing industry. Additionally, the company has been actively engaged in business as an IoT vendor since the early days of IoT development. By leveraging the technologies cultivated in the manufacturing sector and expanding into social IoT, we support our customers' transformation.
